A new approach for image registration is proposed based on alignment metric and fuzzy gradient similarity.
提出一种基于对齐度和模糊梯度相似性的图像配准方法。
Then we suggest a new match measure: AM (Alignment Metric), which is derived from the judgment of alignment of a human's vision.
本文提出了广义的图像匹配概念和一个新的图像配准准则——对齐度。
Image registration then changes to the maximization of alignment metric. This is a typical multi-dimensional global parameter optimization problem.
图像配准问题归结为对齐度的最大化，这成为一个典型的多维全局参数优化问题。
Image registration then changes to the maximization of alignment metric. This is a typical multi-dimensional global parameter optimization problem.
图像配准问题归结为对齐度的最大化，这成为一个典型的多维全局参数优化问题。
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